[R-sig-Geo] Aggregate FIPS data to State and Census divisions
Miluji Sb
milujisb at gmail.com
Sun May 1 18:30:51 CEST 2016
Dear Roman,
Thank you for your reply. I can use the aggregate function but its the
matching FIPS codes to their states that I am having trouble. Thanks again.
Sincerely,
Milu
On Sun, May 1, 2016 at 5:49 PM, Roman Luštrik <roman.lustrik at gmail.com>
wrote:
> Is `aggregate` doing anything for you? You can specify, with a formula
> interface, which column in a data.frame is the variable to summarise and
> which are used as factors by which to "cut" the data.
>
> Cheers,
> Roman
>
> On Sun, May 1, 2016 at 5:30 PM, Miluji Sb <milujisb at gmail.com> wrote:
>
>> Dear all,
>>
>> I have the following data by US FIPS code. Is there a package to aggregate
>> the data by State and Census divisions?
>>
>> temp <- dput(head(pop1,5))
>> structure(list(FIPS = c("01001", "01003", "01005", "01007", "01009"
>> ), death_2050A1 = c(18.19158, 101.63088, 13.18896, 10.30068,
>> 131.91798), death_2050A2 = c(22.16349, 116.58387, 15.85324, 12.78564,
>> 155.20506), death_2050B1 = c(21.38906, 76.23018, 21.38218, 17.14269,
>> 151.64466), death_2050B2 = c(23.43543, 81.39378, 22.96802, 18.76926,
>> 161.86404), death_2050BC = c(21.89947, 93.88002, 18.60352, 15.1032,
>> 152.43414)), .Names = c("FIPS", "death_2050A1", "death_2050A2",
>> "death_2050B1", "death_2050B2", "death_2050BC"), row.names = c(NA,
>> 5L), class = "data.frame")
>>
>> Thank you!
>>
>> Sincerely,
>>
>> Milu
>>
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>>
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>
>
>
> --
> In God we trust, all others bring data.
>
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